{"title":"将数据转化为合规性:利用人工智能/移动语言加强监管报告流程","authors":"Dr. Sreeram Mullankandy","doi":"10.60087/jaigs.v3i1.66","DOIUrl":null,"url":null,"abstract":"This paper delves into the incorporation of artificial intelligence and machine learning (AI/ML) technologies to optimize regulatory reporting processes. It explores how AI/ML algorithms streamline data analysis, interpretation, and compliance within regulatory frameworks. Through the utilization of advanced algorithms, organizations can bolster the efficiency and accuracy of regulatory reporting, resulting in enhanced compliance outcomes. The paper outlines key applications of AI/ML in regulatory reporting and addresses challenges and considerations linked to their implementation. Additionally, it underscores the potential benefits of adopting AI/ML-driven approaches for regulatory reporting processes across diverse industries.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"126 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transforming Data into Compliance: Harnessing AI/ML to Enhance Regulatory Reporting Processes\",\"authors\":\"Dr. Sreeram Mullankandy\",\"doi\":\"10.60087/jaigs.v3i1.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper delves into the incorporation of artificial intelligence and machine learning (AI/ML) technologies to optimize regulatory reporting processes. It explores how AI/ML algorithms streamline data analysis, interpretation, and compliance within regulatory frameworks. Through the utilization of advanced algorithms, organizations can bolster the efficiency and accuracy of regulatory reporting, resulting in enhanced compliance outcomes. The paper outlines key applications of AI/ML in regulatory reporting and addresses challenges and considerations linked to their implementation. Additionally, it underscores the potential benefits of adopting AI/ML-driven approaches for regulatory reporting processes across diverse industries.\",\"PeriodicalId\":517201,\"journal\":{\"name\":\"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023\",\"volume\":\"126 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60087/jaigs.v3i1.66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60087/jaigs.v3i1.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transforming Data into Compliance: Harnessing AI/ML to Enhance Regulatory Reporting Processes
This paper delves into the incorporation of artificial intelligence and machine learning (AI/ML) technologies to optimize regulatory reporting processes. It explores how AI/ML algorithms streamline data analysis, interpretation, and compliance within regulatory frameworks. Through the utilization of advanced algorithms, organizations can bolster the efficiency and accuracy of regulatory reporting, resulting in enhanced compliance outcomes. The paper outlines key applications of AI/ML in regulatory reporting and addresses challenges and considerations linked to their implementation. Additionally, it underscores the potential benefits of adopting AI/ML-driven approaches for regulatory reporting processes across diverse industries.